{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0      159501.SZ\n",
      "1      159506.SZ\n",
      "2      159509.SZ\n",
      "3      159513.SZ\n",
      "4      159519.SZ\n",
      "         ...    \n",
      "96     513970.SH\n",
      "97     513980.SH\n",
      "98     513990.SH\n",
      "99     159518.SZ\n",
      "100    513870.SH\n",
      "Name: thscode, Length: 101, dtype: object\n",
      "['159501.SZ', '159506.SZ', '159509.SZ', '159513.SZ', '159519.SZ', '159605.SZ', '159607.SZ', '159612.SZ', '159615.SZ', '159632.SZ', '159636.SZ', '159655.SZ', '159659.SZ', '159660.SZ', '159687.SZ', '159688.SZ', '159691.SZ', '159696.SZ', '159699.SZ', '159711.SZ', '159712.SZ', '159718.SZ', '159726.SZ', '159735.SZ', '159740.SZ', '159741.SZ', '159742.SZ', '159747.SZ', '159750.SZ', '159751.SZ', '159776.SZ', '159788.SZ', '159792.SZ', '159822.SZ', '159823.SZ', '159850.SZ', '159866.SZ', '159892.SZ', '159920.SZ', '159941.SZ', '159954.SZ', '159960.SZ', '510900.SH', '513000.SH', '513010.SH', '513020.SH', '513030.SH', '513040.SH', '513050.SH', '513060.SH', '513070.SH', '513080.SH', '513090.SH', '513100.SH', '513110.SH', '513120.SH', '513130.SH', '513140.SH', '513150.SH', '513160.SH', '513180.SH', '513190.SH', '513200.SH', '513220.SH', '513230.SH', '513260.SH', '513280.SH', '513290.SH', '513300.SH', '513310.SH', '513320.SH', '513330.SH', '513360.SH', '513380.SH', '513390.SH', '513500.SH', '513520.SH', '513530.SH', '513550.SH', '513560.SH', '513580.SH', '513590.SH', '513600.SH', '513650.SH', '513660.SH', '513690.SH', '513700.SH', '513770.SH', '513800.SH', '513810.SH', '513860.SH', '513880.SH', '513890.SH', '513900.SH', '513950.SH', '513960.SH', '513970.SH', '513980.SH', '513990.SH', '159518.SZ', '513870.SH']\n",
      "       指数代码    指数名称    股票代码  股票名称   股票权重\n",
      "0    000016    上证50  600519  贵州茅台  12.74\n",
      "1    000016    上证50  601398  工商银行   9.40\n",
      "2    000016    上证50  601857  中国石油   7.27\n",
      "3    000016    上证50  601288  农业银行   7.02\n",
      "4    000016    上证50  601628  中国人寿   5.30\n",
      "..      ...     ...     ...   ...    ...\n",
      "995  000852  中证1000  601022  宁波远洋   0.02\n",
      "996  000852  中证1000  601068  中铝国际   0.02\n",
      "997  000852  中证1000  688046  药康生物   0.01\n",
      "998  000852  中证1000  688209   英集芯   0.01\n",
      "999  000852  中证1000  603170  宝立食品   0.01\n",
      "\n",
      "[1850 rows x 5 columns]\n",
      "        股票代码  股票名称    涨跌幅    最新价     最高     最低     今开    涨跌额    换手率     量比  \\\n",
      "0     603062   N麦加  38.14  80.23   93.0  79.77   80.0  22.15  44.19      -   \n",
      "1     839493  并行科技  21.92   63.3   64.5  53.88   54.0  11.38  13.12   2.31   \n",
      "2     300951  博硕科技   20.0   66.6   66.6  59.28  59.99   11.1  10.57   9.14   \n",
      "3     831445  龙竹科技  19.93    6.5   6.75    5.5    5.5   1.08   8.37   5.05   \n",
      "4     300063  天龙集团  18.91   7.61   7.68    6.4    6.4   1.21  34.58   4.13   \n",
      "...      ...   ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
      "5536  688028   沃尔德  -5.38  26.03   27.5  25.82  27.41  -1.48   3.38    3.4   \n",
      "5537  301319   唯特偶   -5.6  60.37   62.0   59.8   62.0  -3.58   5.26   5.26   \n",
      "5538  300765   新诺威  -5.74   29.7  30.88   29.0  30.79  -1.81   1.03   2.13   \n",
      "5539  001376   C百通  -7.12   32.5   34.5  32.02   33.8  -2.49  24.91   1.27   \n",
      "5540  603196  日播时尚  -7.48  13.35  14.05  13.28  13.38  -1.08   8.07  34.56   \n",
      "\n",
      "       动态市盈率      成交量            成交额   昨日收盘          总市值         流通市值  \\\n",
      "0      41.85   116908    963661850.0  58.08   8664840000   2122703357   \n",
      "1     -51.83    32772   191620198.76  51.92   3591009000   1581586454   \n",
      "2      28.78    60456   393278647.46   55.5   8036755200   3809506680   \n",
      "3      68.12    77422    47996669.09   5.42    968870663    600967081   \n",
      "4      82.76  2146616  1550091483.77    6.4   5737422140   4723411518   \n",
      "...      ...      ...            ...    ...          ...          ...   \n",
      "5536    40.2    46252    121715542.0  27.51   3993349344   3566929841   \n",
      "5537   34.31    13750    82839628.46  63.95   3540096800   1578071800   \n",
      "5538   44.69   107369   322125283.87  31.51  34771041974  30871972306   \n",
      "5539  111.77   114801   377348467.31  34.99  14979250000   1497925000   \n",
      "5540  115.08   192033    259495255.0  14.43   3186386704   3175261615   \n",
      "\n",
      "          行情ID 市场类型                 更新时间       最新交易日  \n",
      "0     1.603062   沪A  2023-11-07 10:31:29  2023-11-07  \n",
      "1     0.839493   深A  2023-11-07 10:31:26  2023-11-07  \n",
      "2     0.300951   深A  2023-11-07 10:31:21  2023-11-07  \n",
      "3     0.831445   深A  2023-11-07 10:31:26  2023-11-07  \n",
      "4     0.300063   深A  2023-11-07 10:31:27  2023-11-07  \n",
      "...        ...  ...                  ...         ...  \n",
      "5536  1.688028   沪A  2023-11-07 10:31:27  2023-11-07  \n",
      "5537  0.301319   深A  2023-11-07 10:31:27  2023-11-07  \n",
      "5538  0.300765   深A  2023-11-07 10:31:27  2023-11-07  \n",
      "5539  0.001376   深A  2023-11-07 10:31:27  2023-11-07  \n",
      "5540  1.603196   沪A  2023-11-07 10:31:29  2023-11-07  \n",
      "\n",
      "[5541 rows x 20 columns]\n"
     ]
    }
   ],
   "source": [
    "import efinance as ef\n",
    "import pandas as pd\n",
    "import re\n",
    "\n",
    "def get_have(name:str):\n",
    "    name = re.findall(\"\\d+\",name)[0]\n",
    "    return name\n",
    "guzhi_futures = ['上证 50','沪深300','中证500','中证1000']\n",
    "dd = pd.DataFrame()\n",
    "for i in guzhi_futures:\n",
    "    stock_members = ef.stock.get_members(i)\n",
    "    dd = pd.concat([dd,stock_members],axis=0)\n",
    "\n",
    "data_kua = pd.read_excel(r'c:\\Users\\Lenovo\\Desktop\\跨境etf代码表.xlsx')\n",
    "code_names = data_kua['thscode']\n",
    "code_data = []\n",
    "print(code_names)\n",
    "for i in code_names:\n",
    "    if i not in code_data:\n",
    "        code_data.append(i)\n",
    "print(code_data)\n",
    "futures_name = ef.futures.get_futures_base_info()\n",
    "A_stock = ef.stock.get_realtime_quotes()\n",
    "print(dd) #股指\n",
    "# print(futures_name) #期货\n",
    "print(A_stock) #A股\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       指数代码    指数名称    股票代码  股票名称   股票权重\n",
      "0    000016    上证50  600519  贵州茅台  12.74\n",
      "1    000016    上证50  601398  工商银行   9.40\n",
      "2    000016    上证50  601857  中国石油   7.27\n",
      "3    000016    上证50  601288  农业银行   7.02\n",
      "4    000016    上证50  601628  中国人寿   5.30\n",
      "..      ...     ...     ...   ...    ...\n",
      "995  000852  中证1000  601022  宁波远洋   0.02\n",
      "996  000852  中证1000  601068  中铝国际   0.02\n",
      "997  000852  中证1000  688046  药康生物   0.01\n",
      "998  000852  中证1000  688209   英集芯   0.01\n",
      "999  000852  中证1000  603170  宝立食品   0.01\n",
      "\n",
      "[1850 rows x 5 columns]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "common_rows = dd[dd['股票代码'].isin(A_stock['股票代码'])]\n",
    "print(common_rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     159501.SZ  159506.SZ  159509.SZ  159513.SZ  159519.SZ  159605.SZ  \\\n",
      "0        1.023      0.957      0.956      0.928      1.010      0.745   \n",
      "1        1.024      0.962      0.954      0.929      1.010      0.745   \n",
      "2        1.023      0.961      0.956      0.928      1.008      0.744   \n",
      "3        1.023      0.960      0.957      0.929      1.008      0.744   \n",
      "4        1.023      0.961      0.958      0.928      1.009      0.744   \n",
      "..         ...        ...        ...        ...        ...        ...   \n",
      "763      0.983      1.041      0.913      0.888      1.009      0.742   \n",
      "764      0.984      1.040      0.914      0.889      1.009      0.743   \n",
      "765      0.984      1.041      0.914      0.889      1.008      0.743   \n",
      "766      0.983      1.041      0.915      0.889      1.009      0.743   \n",
      "767      0.985      1.042      0.915      0.889      1.009      0.744   \n",
      "\n",
      "     159607.SZ  159612.SZ  159615.SZ  159632.SZ  ...  513880.SH  513890.SH  \\\n",
      "0        0.745      1.172      0.803      1.253  ...      1.108      0.761   \n",
      "1        0.745      1.170      0.802      1.251  ...      1.108      0.760   \n",
      "2        0.744      1.168      0.799      1.251  ...      1.108      0.759   \n",
      "3        0.744      1.167      0.799      1.250  ...      1.110      0.760   \n",
      "4        0.746      1.167      0.800      1.251  ...      1.109      0.760   \n",
      "..         ...        ...        ...        ...  ...        ...        ...   \n",
      "763      0.741      1.134      0.881      1.204  ...      1.097      0.759   \n",
      "764      0.742      1.135      0.881      1.204  ...      1.098      0.759   \n",
      "765      0.742      1.134      0.881      1.204  ...      1.097      0.759   \n",
      "766      0.743      1.134      0.879      1.204  ...      1.096      0.760   \n",
      "767      0.744      1.135      0.880      1.204  ...      1.100      0.761   \n",
      "\n",
      "     513900.SH  513950.SH  513960.SH  513970.SH  513980.SH  513990.SH  \\\n",
      "0        0.781      0.940      1.092      0.859      0.482      0.774   \n",
      "1        0.781      0.938      1.090      0.859      0.482      0.775   \n",
      "2        0.781      0.936      1.089      0.858      0.481      0.775   \n",
      "3        0.781      0.936      1.090      0.858      0.481      0.775   \n",
      "4        0.781      0.936      1.090      0.858      0.481      0.774   \n",
      "..         ...        ...        ...        ...        ...        ...   \n",
      "763      0.770      0.930      1.074      0.849      0.507      0.762   \n",
      "764      0.771      0.930      1.075      0.850      0.507      0.762   \n",
      "765      0.771      0.930      1.074      0.848      0.505      0.764   \n",
      "766      0.770      0.931      1.075      0.849      0.505      0.763   \n",
      "767      0.770      0.932      1.077      0.848      0.505      0.763   \n",
      "\n",
      "     159518.SZ  513870.SH  \n",
      "0          NaN        NaN  \n",
      "1          NaN        NaN  \n",
      "2          NaN        NaN  \n",
      "3          NaN        NaN  \n",
      "4          NaN        NaN  \n",
      "..         ...        ...  \n",
      "763        NaN        NaN  \n",
      "764        NaN        NaN  \n",
      "765        NaN        NaN  \n",
      "766        NaN        NaN  \n",
      "767        NaN        NaN  \n",
      "\n",
      "[768 rows x 101 columns]\n",
      "     159501.SZ  159506.SZ  159509.SZ  159513.SZ  159519.SZ  159605.SZ  \\\n",
      "0        1.023      0.957      0.956      0.928      1.010      0.745   \n",
      "1        1.024      0.962      0.954      0.929      1.010      0.745   \n",
      "2        1.023      0.961      0.956      0.928      1.008      0.744   \n",
      "3        1.023      0.960      0.957      0.929      1.008      0.744   \n",
      "4        1.023      0.961      0.958      0.928      1.009      0.744   \n",
      "..         ...        ...        ...        ...        ...        ...   \n",
      "763      0.983      1.041      0.913      0.888      1.009      0.742   \n",
      "764      0.984      1.040      0.914      0.889      1.009      0.743   \n",
      "765      0.984      1.041      0.914      0.889      1.008      0.743   \n",
      "766      0.983      1.041      0.915      0.889      1.009      0.743   \n",
      "767      0.985      1.042      0.915      0.889      1.009      0.744   \n",
      "\n",
      "     159607.SZ  159612.SZ  159615.SZ  159632.SZ  ...  301363  301180  301268  \\\n",
      "0        0.745      1.172      0.803      1.253  ...   34.55   18.76   27.56   \n",
      "1        0.745      1.170      0.802      1.251  ...   34.35   17.89   27.64   \n",
      "2        0.744      1.168      0.799      1.251  ...   34.03   17.81   27.52   \n",
      "3        0.744      1.167      0.799      1.250  ...   33.99   17.67   27.46   \n",
      "4        0.746      1.167      0.800      1.251  ...   34.16   17.75   27.51   \n",
      "..         ...        ...        ...        ...  ...     ...     ...     ...   \n",
      "763      0.741      1.134      0.881      1.204  ...   35.08   17.50   30.87   \n",
      "764      0.742      1.135      0.881      1.204  ...   34.79   17.48   30.83   \n",
      "765      0.742      1.134      0.881      1.204  ...   34.94   17.49   30.78   \n",
      "766      0.743      1.134      0.879      1.204  ...   34.98   17.52   30.81   \n",
      "767      0.744      1.135      0.880      1.204  ...   34.92   17.51   30.78   \n",
      "\n",
      "     603530  001236  601022  601068  688046  688209  603170  \n",
      "0     14.50   12.32    9.83    4.99   16.98   15.74   19.40  \n",
      "1     14.46   12.33    9.85    4.98   17.13   15.76   19.46  \n",
      "2     14.45   12.39    9.84    4.97   17.02   15.75   19.37  \n",
      "3     14.46   12.40    9.84    4.98   17.03   15.77   19.41  \n",
      "4     14.45   12.49    9.82    4.97   17.04   15.90   19.47  \n",
      "..      ...     ...     ...     ...     ...     ...     ...  \n",
      "763   14.63   11.80    9.00    4.75   17.56   16.80   19.82  \n",
      "764   14.63   11.81    9.01    4.76   17.55   16.78   19.75  \n",
      "765   14.63   11.79    9.00    4.76   17.53   16.80   19.76  \n",
      "766   14.66   11.80    9.00    4.75   17.49   16.81   19.75  \n",
      "767   14.66   11.81    9.00    4.75   17.54   16.78   19.75  \n",
      "\n",
      "[768 rows x 1951 columns]\n"
     ]
    }
   ],
   "source": [
    "data_all = pd.DataFrame()\n",
    "def have_a_dataframe(names):\n",
    "    global data_all\n",
    "    for id_index in names:\n",
    "        get_stock_data = pd.DataFrame(ef.stock.get_quote_history(get_have(id_index), klt=5,beg = '20231001',end='20231030')['收盘'])\n",
    "        get_stock_data.rename(columns={'收盘':id_index},inplace=True)\n",
    "        data_all = pd.concat([data_all,get_stock_data],axis=1)\n",
    "have_a_dataframe(code_names)\n",
    "print(data_all)\n",
    "have_a_dataframe(common_rows['股票代码'])\n",
    "print(data_all)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     159501.SZ  159506.SZ  159509.SZ  159513.SZ  159519.SZ  159605.SZ  \\\n",
      "0        1.023      0.957      0.956      0.928      1.010      0.745   \n",
      "1        1.024      0.962      0.954      0.929      1.010      0.745   \n",
      "2        1.023      0.961      0.956      0.928      1.008      0.744   \n",
      "3        1.023      0.960      0.957      0.929      1.008      0.744   \n",
      "4        1.023      0.961      0.958      0.928      1.009      0.744   \n",
      "..         ...        ...        ...        ...        ...        ...   \n",
      "763      0.983      1.041      0.913      0.888      1.009      0.742   \n",
      "764      0.984      1.040      0.914      0.889      1.009      0.743   \n",
      "765      0.984      1.041      0.914      0.889      1.008      0.743   \n",
      "766      0.983      1.041      0.915      0.889      1.009      0.743   \n",
      "767      0.985      1.042      0.915      0.889      1.009      0.744   \n",
      "\n",
      "     159607.SZ  159612.SZ  159615.SZ  159632.SZ  ...  301363  301180  301268  \\\n",
      "0        0.745      1.172      0.803      1.253  ...   34.55   18.76   27.56   \n",
      "1        0.745      1.170      0.802      1.251  ...   34.35   17.89   27.64   \n",
      "2        0.744      1.168      0.799      1.251  ...   34.03   17.81   27.52   \n",
      "3        0.744      1.167      0.799      1.250  ...   33.99   17.67   27.46   \n",
      "4        0.746      1.167      0.800      1.251  ...   34.16   17.75   27.51   \n",
      "..         ...        ...        ...        ...  ...     ...     ...     ...   \n",
      "763      0.741      1.134      0.881      1.204  ...   35.08   17.50   30.87   \n",
      "764      0.742      1.135      0.881      1.204  ...   34.79   17.48   30.83   \n",
      "765      0.742      1.134      0.881      1.204  ...   34.94   17.49   30.78   \n",
      "766      0.743      1.134      0.879      1.204  ...   34.98   17.52   30.81   \n",
      "767      0.744      1.135      0.880      1.204  ...   34.92   17.51   30.78   \n",
      "\n",
      "     603530  001236  601022  601068  688046  688209  603170  \n",
      "0     14.50   12.32    9.83    4.99   16.98   15.74   19.40  \n",
      "1     14.46   12.33    9.85    4.98   17.13   15.76   19.46  \n",
      "2     14.45   12.39    9.84    4.97   17.02   15.75   19.37  \n",
      "3     14.46   12.40    9.84    4.98   17.03   15.77   19.41  \n",
      "4     14.45   12.49    9.82    4.97   17.04   15.90   19.47  \n",
      "..      ...     ...     ...     ...     ...     ...     ...  \n",
      "763   14.63   11.80    9.00    4.75   17.56   16.80   19.82  \n",
      "764   14.63   11.81    9.01    4.76   17.55   16.78   19.75  \n",
      "765   14.63   11.79    9.00    4.76   17.53   16.80   19.76  \n",
      "766   14.66   11.80    9.00    4.75   17.49   16.81   19.75  \n",
      "767   14.66   11.81    9.00    4.75   17.54   16.78   19.75  \n",
      "\n",
      "[768 rows x 1951 columns]\n"
     ]
    }
   ],
   "source": [
    "print(data_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>600519</th>\n",
       "      <th>601398</th>\n",
       "      <th>601857</th>\n",
       "      <th>601288</th>\n",
       "      <th>601628</th>\n",
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       "      <th>301363</th>\n",
       "      <th>301180</th>\n",
       "      <th>301268</th>\n",
       "      <th>603530</th>\n",
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       "      <th>601068</th>\n",
       "      <th>688046</th>\n",
       "      <th>688209</th>\n",
       "      <th>603170</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>159501.SZ</th>\n",
       "      <td>0.689731</td>\n",
       "      <td>0.403220</td>\n",
       "      <td>0.703165</td>\n",
       "      <td>0.621539</td>\n",
       "      <td>0.916030</td>\n",
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       "      <td>0.499548</td>\n",
       "      <td>0.521830</td>\n",
       "      <td>0.066921</td>\n",
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       "      <td>0.444917</td>\n",
       "      <td>0.682934</td>\n",
       "      <td>0.173551</td>\n",
       "      <td>0.502340</td>\n",
       "      <td>0.445621</td>\n",
       "      <td>0.008744</td>\n",
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       "    <tr>\n",
       "      <th>159506.SZ</th>\n",
       "      <td>0.464445</td>\n",
       "      <td>0.037584</td>\n",
       "      <td>-0.328653</td>\n",
       "      <td>0.076888</td>\n",
       "      <td>0.154564</td>\n",
       "      <td>0.391869</td>\n",
       "      <td>0.192267</td>\n",
       "      <td>-0.034281</td>\n",
       "      <td>-0.276503</td>\n",
       "      <td>0.262725</td>\n",
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       "      <td>0.680528</td>\n",
       "      <td>0.642892</td>\n",
       "      <td>0.195759</td>\n",
       "      <td>0.706961</td>\n",
       "      <td>0.291718</td>\n",
       "      <td>0.391038</td>\n",
       "      <td>0.417052</td>\n",
       "      <td>0.743995</td>\n",
       "      <td>0.790899</td>\n",
       "      <td>0.586886</td>\n",
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       "    <tr>\n",
       "      <th>159509.SZ</th>\n",
       "      <td>0.649306</td>\n",
       "      <td>0.411344</td>\n",
       "      <td>0.692314</td>\n",
       "      <td>0.607779</td>\n",
       "      <td>0.900943</td>\n",
       "      <td>0.809109</td>\n",
       "      <td>0.849418</td>\n",
       "      <td>0.727241</td>\n",
       "      <td>0.552112</td>\n",
       "      <td>0.627520</td>\n",
       "      <td>...</td>\n",
       "      <td>0.427738</td>\n",
       "      <td>0.481003</td>\n",
       "      <td>0.047079</td>\n",
       "      <td>0.372605</td>\n",
       "      <td>0.415763</td>\n",
       "      <td>0.633469</td>\n",
       "      <td>0.124774</td>\n",
       "      <td>0.440590</td>\n",
       "      <td>0.381260</td>\n",
       "      <td>-0.059515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159513.SZ</th>\n",
       "      <td>0.708901</td>\n",
       "      <td>0.360754</td>\n",
       "      <td>0.710701</td>\n",
       "      <td>0.594881</td>\n",
       "      <td>0.900453</td>\n",
       "      <td>0.837391</td>\n",
       "      <td>0.889070</td>\n",
       "      <td>0.782069</td>\n",
       "      <td>0.579533</td>\n",
       "      <td>0.666791</td>\n",
       "      <td>...</td>\n",
       "      <td>0.503978</td>\n",
       "      <td>0.518308</td>\n",
       "      <td>0.017957</td>\n",
       "      <td>0.447650</td>\n",
       "      <td>0.478778</td>\n",
       "      <td>0.701920</td>\n",
       "      <td>0.199227</td>\n",
       "      <td>0.501967</td>\n",
       "      <td>0.438362</td>\n",
       "      <td>0.008005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159519.SZ</th>\n",
       "      <td>0.642086</td>\n",
       "      <td>0.600273</td>\n",
       "      <td>0.487102</td>\n",
       "      <td>0.721700</td>\n",
       "      <td>0.824179</td>\n",
       "      <td>0.770279</td>\n",
       "      <td>0.797301</td>\n",
       "      <td>0.592007</td>\n",
       "      <td>0.459477</td>\n",
       "      <td>0.667718</td>\n",
       "      <td>...</td>\n",
       "      <td>0.590732</td>\n",
       "      <td>0.603845</td>\n",
       "      <td>0.375969</td>\n",
       "      <td>0.490458</td>\n",
       "      <td>0.326547</td>\n",
       "      <td>0.588086</td>\n",
       "      <td>0.199911</td>\n",
       "      <td>0.475993</td>\n",
       "      <td>0.524551</td>\n",
       "      <td>0.033992</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513950.SH</th>\n",
       "      <td>0.708039</td>\n",
       "      <td>0.539246</td>\n",
       "      <td>0.477796</td>\n",
       "      <td>0.677621</td>\n",
       "      <td>0.822764</td>\n",
       "      <td>0.817453</td>\n",
       "      <td>0.827906</td>\n",
       "      <td>0.632878</td>\n",
       "      <td>0.466009</td>\n",
       "      <td>0.666788</td>\n",
       "      <td>...</td>\n",
       "      <td>0.664558</td>\n",
       "      <td>0.679864</td>\n",
       "      <td>0.320870</td>\n",
       "      <td>0.567522</td>\n",
       "      <td>0.406338</td>\n",
       "      <td>0.668713</td>\n",
       "      <td>0.309188</td>\n",
       "      <td>0.539518</td>\n",
       "      <td>0.579111</td>\n",
       "      <td>0.094787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513960.SH</th>\n",
       "      <td>0.901265</td>\n",
       "      <td>0.101053</td>\n",
       "      <td>0.286372</td>\n",
       "      <td>0.343400</td>\n",
       "      <td>0.650287</td>\n",
       "      <td>0.879948</td>\n",
       "      <td>0.844315</td>\n",
       "      <td>0.579060</td>\n",
       "      <td>0.224766</td>\n",
       "      <td>0.494721</td>\n",
       "      <td>...</td>\n",
       "      <td>0.808348</td>\n",
       "      <td>0.745308</td>\n",
       "      <td>-0.084237</td>\n",
       "      <td>0.787681</td>\n",
       "      <td>0.707034</td>\n",
       "      <td>0.822065</td>\n",
       "      <td>0.546171</td>\n",
       "      <td>0.729181</td>\n",
       "      <td>0.738907</td>\n",
       "      <td>0.394028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513970.SH</th>\n",
       "      <td>0.886489</td>\n",
       "      <td>0.065745</td>\n",
       "      <td>0.270370</td>\n",
       "      <td>0.297138</td>\n",
       "      <td>0.642586</td>\n",
       "      <td>0.877043</td>\n",
       "      <td>0.821525</td>\n",
       "      <td>0.562751</td>\n",
       "      <td>0.197473</td>\n",
       "      <td>0.454342</td>\n",
       "      <td>...</td>\n",
       "      <td>0.784298</td>\n",
       "      <td>0.762397</td>\n",
       "      <td>-0.104175</td>\n",
       "      <td>0.784486</td>\n",
       "      <td>0.728171</td>\n",
       "      <td>0.818359</td>\n",
       "      <td>0.564457</td>\n",
       "      <td>0.739518</td>\n",
       "      <td>0.759014</td>\n",
       "      <td>0.419030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513980.SH</th>\n",
       "      <td>0.638194</td>\n",
       "      <td>0.160254</td>\n",
       "      <td>-0.102199</td>\n",
       "      <td>0.266499</td>\n",
       "      <td>0.392033</td>\n",
       "      <td>0.600402</td>\n",
       "      <td>0.480527</td>\n",
       "      <td>0.180423</td>\n",
       "      <td>-0.107099</td>\n",
       "      <td>0.392741</td>\n",
       "      <td>...</td>\n",
       "      <td>0.748736</td>\n",
       "      <td>0.702118</td>\n",
       "      <td>0.181772</td>\n",
       "      <td>0.750036</td>\n",
       "      <td>0.425151</td>\n",
       "      <td>0.540031</td>\n",
       "      <td>0.419179</td>\n",
       "      <td>0.750649</td>\n",
       "      <td>0.821591</td>\n",
       "      <td>0.507987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513990.SH</th>\n",
       "      <td>0.857356</td>\n",
       "      <td>0.280120</td>\n",
       "      <td>0.452782</td>\n",
       "      <td>0.513581</td>\n",
       "      <td>0.800254</td>\n",
       "      <td>0.901907</td>\n",
       "      <td>0.890439</td>\n",
       "      <td>0.677765</td>\n",
       "      <td>0.383171</td>\n",
       "      <td>0.637651</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764494</td>\n",
       "      <td>0.720035</td>\n",
       "      <td>0.026502</td>\n",
       "      <td>0.708859</td>\n",
       "      <td>0.595335</td>\n",
       "      <td>0.805825</td>\n",
       "      <td>0.424852</td>\n",
       "      <td>0.710870</td>\n",
       "      <td>0.683360</td>\n",
       "      <td>0.278978</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>99 rows × 1850 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             600519    601398    601857    601288    601628    601318  \\\n",
       "159501.SZ  0.689731  0.403220  0.703165  0.621539  0.916030  0.828098   \n",
       "159506.SZ  0.464445  0.037584 -0.328653  0.076888  0.154564  0.391869   \n",
       "159509.SZ  0.649306  0.411344  0.692314  0.607779  0.900943  0.809109   \n",
       "159513.SZ  0.708901  0.360754  0.710701  0.594881  0.900453  0.837391   \n",
       "159519.SZ  0.642086  0.600273  0.487102  0.721700  0.824179  0.770279   \n",
       "...             ...       ...       ...       ...       ...       ...   \n",
       "513950.SH  0.708039  0.539246  0.477796  0.677621  0.822764  0.817453   \n",
       "513960.SH  0.901265  0.101053  0.286372  0.343400  0.650287  0.879948   \n",
       "513970.SH  0.886489  0.065745  0.270370  0.297138  0.642586  0.877043   \n",
       "513980.SH  0.638194  0.160254 -0.102199  0.266499  0.392033  0.600402   \n",
       "513990.SH  0.857356  0.280120  0.452782  0.513581  0.800254  0.901907   \n",
       "\n",
       "             600036    600028    601088    600900  ...    301363    301180  \\\n",
       "159501.SZ  0.874168  0.764871  0.580065  0.681567  ...  0.499548  0.521830   \n",
       "159506.SZ  0.192267 -0.034281 -0.276503  0.262725  ...  0.680528  0.642892   \n",
       "159509.SZ  0.849418  0.727241  0.552112  0.627520  ...  0.427738  0.481003   \n",
       "159513.SZ  0.889070  0.782069  0.579533  0.666791  ...  0.503978  0.518308   \n",
       "159519.SZ  0.797301  0.592007  0.459477  0.667718  ...  0.590732  0.603845   \n",
       "...             ...       ...       ...       ...  ...       ...       ...   \n",
       "513950.SH  0.827906  0.632878  0.466009  0.666788  ...  0.664558  0.679864   \n",
       "513960.SH  0.844315  0.579060  0.224766  0.494721  ...  0.808348  0.745308   \n",
       "513970.SH  0.821525  0.562751  0.197473  0.454342  ...  0.784298  0.762397   \n",
       "513980.SH  0.480527  0.180423 -0.107099  0.392741  ...  0.748736  0.702118   \n",
       "513990.SH  0.890439  0.677765  0.383171  0.637651  ...  0.764494  0.720035   \n",
       "\n",
       "             301268    603530    001236    601022    601068    688046  \\\n",
       "159501.SZ  0.066921  0.436551  0.444917  0.682934  0.173551  0.502340   \n",
       "159506.SZ  0.195759  0.706961  0.291718  0.391038  0.417052  0.743995   \n",
       "159509.SZ  0.047079  0.372605  0.415763  0.633469  0.124774  0.440590   \n",
       "159513.SZ  0.017957  0.447650  0.478778  0.701920  0.199227  0.501967   \n",
       "159519.SZ  0.375969  0.490458  0.326547  0.588086  0.199911  0.475993   \n",
       "...             ...       ...       ...       ...       ...       ...   \n",
       "513950.SH  0.320870  0.567522  0.406338  0.668713  0.309188  0.539518   \n",
       "513960.SH -0.084237  0.787681  0.707034  0.822065  0.546171  0.729181   \n",
       "513970.SH -0.104175  0.784486  0.728171  0.818359  0.564457  0.739518   \n",
       "513980.SH  0.181772  0.750036  0.425151  0.540031  0.419179  0.750649   \n",
       "513990.SH  0.026502  0.708859  0.595335  0.805825  0.424852  0.710870   \n",
       "\n",
       "             688209    603170  \n",
       "159501.SZ  0.445621  0.008744  \n",
       "159506.SZ  0.790899  0.586886  \n",
       "159509.SZ  0.381260 -0.059515  \n",
       "159513.SZ  0.438362  0.008005  \n",
       "159519.SZ  0.524551  0.033992  \n",
       "...             ...       ...  \n",
       "513950.SH  0.579111  0.094787  \n",
       "513960.SH  0.738907  0.394028  \n",
       "513970.SH  0.759014  0.419030  \n",
       "513980.SH  0.821591  0.507987  \n",
       "513990.SH  0.683360  0.278978  \n",
       "\n",
       "[99 rows x 1850 columns]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "data_all = data_all.loc[:, ~(data_all.isnull().all())]\n",
    "data_all.columns\n",
    "result2 = np.corrcoef(data_all, rowvar=False)\n",
    "data_like = pd.DataFrame(result2,index=data_all.columns,columns=data_all.columns).iloc[:99,99:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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'000032', '000422', '603298', '600908', '300188', '300343', '000503', '002085', '601965', '688083', '300079', '300170', '002807', '002839', '600330', '000810', '600057', '600562', '002291', '000758', '603305', '002698', '002434', '300031', '002585', '002258', '000821', '603323', '600888', '603888', '603348', '300271', '300369', '002006', '300497', '300587', '600328', '603212', '002349', '300358', '300401', '000795', '002101', '300007', '000913', '300639', '002556', '605376', '300183', '000881', '300477', '000950', '600990', '600783', '300382', '002017', '603666', '603171', '002746', '301217', '002979', '688261', '603281', '002913', '603719', '300208', '603489', '301089', '603032', '688330', '001308', '301367', '603235'], [['513700.SH'], '603259', '603259', '002384', '002653', '600789'], [['513770.SH'], '600111', '000792', '600111', '600588', '002180', '300207', '600460', '002938', '002340', '600487', '600536', '605358', '002131', '002407', '300699', '002268', '300676', '300182', '000970', '300357', '600718', '002250', '002396', '000422', '600110', '002174', '000503', '002085', '600330', '600478', '002585', '603348', '300369', '002639', '600366', '603212', '000795', '300007', '605376', '000881', '300382', '301217', '688261', '002913', '301089', '301060', '001308', '301177'], [['513800.SH'], '605358', '300699', '002250', '603348'], [['513810.SH'], '000066', '001227', '601118'], [['513860.SH'], '002384', '002030'], [['513880.SH'], '002497'], [['513890.SH'], '600519', '603288', '600010', '603799', '600519', '002352', '000792', '603288', '603799', '600570', '600010', '000538', '600588', '002180', '000876', '600332', '300999', '600362', '600763', '600875', '600372', '000630', '000009', '600096', '600873', '300146', '002532', '000683', '603589', '002131', '600637', '600392', '000623', '002432', '000960', '603517', '002506', '002373', '002507', '000519', '600580', '603658', '000547', '000970', '600208', '002683', '600959', '300115', '300026', '002249', '000155', '300357', '000156', '600556', '002010', '601778', '688185', '600195', '603638', '601156', '002250', '688289', '300442', '600711', '600363', '000860', '601677', '300068', '002312', '002617', '300036', '002182', '300294', '601678', '002643', '600596', '000422', '002174', '300188', '600064', '000503', '600037', '002219', '000681', '600063', '600330', '600993', '688739', '600478', '601908', '300910', '600158', '002585', '600059', '600197', '002191', '603881', '300428', '301047', '300770', '300263', '600531', '603919', '600305', '300158', '600490', '002639', '600366', '603566', '603169', '300738', '002539', '300821', '603212', '002125', '600882', '301087', '600058', '002545', '603301', '002190', '001213', '301069', '600550', '600163', '002741', '000688', '002759', '301216', '002461', '601921', '300792', '600770', '600929', '601700', '002378', '000737', '002768', '002201', '002088', '002053', '688148', '600876', '002534', '301327', '301060', '300755', '002978', '688499', '301177'], [['513900.SH'], '600111', '000792', '600111', '000538', '600588', '002180', '300207', '600460', '603392', '002340', '600487', '600536', '605358', '300699', '002268', '300676', '300182', '000970', '300357', '002250', '601869', '002182', '002396', '000422', '600110', '000503', '002085', '600330', '600478', '002585', '603348', '002639', '600366', '600328', '603212', '000795', '300007', '300639', '605376', '000881', '300382', '301217', '688261', '002913', '301089', '301060', '301177'], [['513950.SH'], '001227', '601118'], [['513960.SH'], '600519', '603288', '600519', '000792', '603288', '000538', '600588', '002180', '600460', '002340', '600096', '600536', '605358', '002131', '600392', '002432', '300699', '002268', '000970', '300357', '688185', '603638', '002250', '688289', '300068', '002182', '600596', '000422', '603298', '002174', '300188', '000503', '600330', '600478', '002585', '300428', '300263', '603348', '600305', '002639', '600366', '600328', '300821', '603212', '002125', '000795', '300007', '000881', '002741', '601921', '300792', '600770', '300382', '301217', '002913', '002201', '600876', '301089', '301060', '002978', '301177'], [['513970.SH'], '000792', '000538', '600588', '002180', '600460', '002938', '600096', '600536', '605358', '002131', '002407', '300699', '000970', '688185', '002250', '688289', '300068', '002182', '000422', '600110', '002174', '300188', '000503', '600330', '600478', '002585', '300263', '603348', '600305', '600366', '600328', '300821', '603212', '002125', '000795', '000881', '001301', '002741', '301216', '300382', '301217', '688261', '002913', '688148', '600876', '301089', '301060', '002978'], [['513980.SH'], '002384'], [['513990.SH'], '601318', '600111', '600089', '601318', '000792', '600089', '600111', '000538', '600588', '300033', '002001', '002180', '300207', '603392', '002841', '002340', '600487', '600536', '605358', '002497', '600521', '300699', '600143', '002268', '300676', '002056', '688538', '300182', '000970', '600056', '600598', '300357', '002250', '601869', '601222', '002396', '600110', '603298', '300343', '000503', '002085', '300079', '600330', '000810', '002585', '600888', '603348', '300497', '600328', '603212', '002349', '000795', '300007', '300639', '605376', '688776', '000881', '300382', '301217', '688261', '002913', '301089', '301060', '001308', '301367']]\n"
     ]
    }
   ],
   "source": [
    "data_like_columns = data_like.columns.tolist()\n",
    "data_like_index = data_like.index.tolist()\n",
    "print(data_like_index)\n",
    "\n",
    "wlh = []\n",
    "for j in range(len(data_like_index)):\n",
    "    kk = [[data_like_index[j]]]\n",
    "    for i in range(len(data_like_columns)):\n",
    "        like_ = data_like.iloc[j,i]\n",
    "        if like_ >= 0.9:\n",
    "            kk.append(data_like_columns[i])\n",
    "    wlh.append(kk)\n",
    "print(wlh)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "for j in range(len(wlh)):\n",
    "    # plt.plot(range(len(data_all[wlh[j][0]])),data_all[wlh[j][0]])\n",
    "    for i in wlh[j][1:]:\n",
    "        plt.title(wlh[j][0][0])\n",
    "        plt.plot(range(len(data_all[i])),data_all[i],label = i)\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "0.3018034582149979\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression as LR  # 线性回归\n",
    "from sklearn.model_selection import train_test_split     # 划分训练测试集\n",
    "import pandas as pd\n",
    "\n",
    "index = 0\n",
    "x = np.array(range(len(csgo_main))).reshape(-1, 1)\n",
    "for i in range(48,len(data_all.iloc[:,0])+1,48):\n",
    "    csgo = data_all.iloc[index:i,:]\n",
    "    index = i\n",
    "    try:\n",
    "        for name_index in range(len(wlh)):\n",
    "            csgo_main = csgo[wlh[name_index][0][0]]\n",
    "            reg = LR().fit(x,csgo_main)\n",
    "            R_2 = reg.score(x,csgo_main)\n",
    "            print(R_2)\n",
    "            for g in range(len(wlh[name_index][1:])):    \n",
    "                csgo_js = csgo[wlh[name_index][g]]\n",
    "                reg = LR().fit(x,csgo_main)\n",
    "                R_2 = reg.score(x,csgo_main)\n",
    "                print(R_2)\n",
    "    except:\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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